Sr. Staff Systems Engineer
Role Overview
Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Staff Systems Engineer, Data and Integrations to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business.
In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them.
You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover.
This position sits at the crossroads of data engineering, data modeling, and business process.
You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set.
This is a full-time position based out of our Oakland, California office.
Key Skills for This Role
Full Job Posting
Perks and Benefits
- 100% employer-paid medical insurance *
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
- * May vary by country and worker type - please reach out to your recruiter for more information
- Click here to learn more about Fivetran's Benefits by Region.
- We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes .
- Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
- To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
- To learn more about our candidate privacy policy, you can read our statement here .
- We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Requirements
- 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives.
- Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation.
- Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines.
- Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation.
- Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them.
- Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly.
- Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority.
- Experience with dbt or a similar transformation framework.
- Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them.
- Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines.
- Familiarity with AI/ML capabilities to augment data quality, matching, and automation.
About Fivetran
Automated data movement and integration platform for organizations.
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